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Ultimus Fund Solutions

AI Data Scientist

Ultimus Fund Solutions Denver, Colorado, United States · $100K–$250K/yr

Financial Services · 1,001-5,000 employees

20 h ago
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

The AI Data Scientist will manage the modeling and statistical lifecycle for enterprise AI initiatives, including developing predictive models for anomaly detection and risk mitigation. They will partner with business leaders to transform financial data into actionable insights while ensuring compliance with regulatory standards.

What they look for

Predictive Modeling Statistical Analysis Python R Data Science Frameworks Anomaly Detection Workflow Forecasting Risk Mitigation Data Wrangling Financial Compliance Quantitative Analysis Machine Learning Data Visualization KPI Development Stakeholder Presentation

Requirements

Candidates must have 5+ years of experience building predictive models within a corporate or financial environment. Proficiency in Python, R, and advanced statistical analysis is required, along with the ability to communicate complex quantitative findings to non-technical stakeholders.

Full description

Position Summary

The AI Data Scientist will own the modeling and statistical lifecycle of enterprise AI initiatives. The role will partner with business operations to structure financial data, build predictive models, and ensure AI investments deliver high-accuracy insights that reduce risk and improve decision-making. The role requires a rigorous quantitative expert who can balance complex statistical analysis with strict financial regulatory standards and drive alignment across business and technology teams.

Key Responsibilities

  • Develop and train advanced predictive models for anomaly detection, workflow forecasting, and risk mitigation
  • Perform deep statistical analysis and data wrangling within large-scale enterprise environments
  • Validate model accuracy rigorously, test for bias, and ensure all outputs meet strict financial compliance standards
  • Partner with business leaders to understand the nuance of financial data and transform raw inputs into training datasets
  • Establish KPIs tied to model accuracy, prediction precision, and false-positive reduction

Qualifications

  • 5+ years of experience building and validating predictive models in a corporate or financial environment
  • Demonstrated ability to apply advanced statistics and machine learning to deliver measurable business outcomes
  • Deep expertise in statistical analysis, Python, R, and data science frameworks
  • Ability to work effectively with operational teams to understand data context without needing constant translation
  • Strong understanding of financial datasets and the regulatory constraints surrounding automated decision-making
  • Ability to present complex quantitative findings to non-technical stakeholders
  • Operator mindset with a focus on execution and analytical outcomes

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

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